Early Detection Tool for Bladder Cancer Based on Quantum Dots Fluorescence Integrated with Fuzzy Logic Classification Application Programming Interface by Krisna Seiya Ekiawan, Evan Manuel Tan, Levina Nasywa Faustin, Verousson Ahmad, Ajeng Lintang Kinasih Suroso, Taufiq Nur Budaya, Nurussa’adah Nurussa’adah

“…This number is supported by inadequate early detection modalities that cannot reach the wider community. …”
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Leveraging a Strategic Public–Private Partnership to Launch an Airport-Based Pathogen Monitoring Program to Detect Emerging Health Threats by Cindy R. Friedman, Robert C. Morfino, Ezra T. Ernst

“…A novel public–private partnership between an airport spa group, a biotech company, and the Centers for Disease Control and Prevention was instrumental in establishing a multimodal pathogen genomic surveillance program at US international airports. That public–private partnership addressed critical challenges that neither party could overcome independently, resulting in the development and deployment of a scalable, flexible early warning system for pathogen detection and public health monitoring. …”
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Association of genomic predictions for fertility traits with reproductive outcomes in dairy cows under 2 estrus detection and timed artificial insemination programs by D.B. Melo, R.G.S. Bruno, R.S. Bisinotto, F.S. Lima

“…Although these traits overlap, their denominator can vary, and programs with different strategies combining estrus detection (ED) and timed AI might experience different associations with these traits (e.g., shorter interval for first service for high GDPR quartiles, but not for GCCR). …”
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Detection of Nutrients and Major Ions at Al Muthanna Storage Site Soil by Al Sharaa et al.

“…In the early 90s military operations and United Nations Special Commission “UNSCOM” teams have been destroyed the past Iraqi chemical program. Both operations led an extensive number of scattered remnants of contaminated areas. …”
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FPGA Programming Challenges When Estimating Power Spectral Density and Autocorrelation in Coherent Doppler Lidar Systems for Wind Sensing by Sameh Abdelazim, David Santoro, Fred Moshary

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Ten-year survival in early-stage breast cancer patients in a comprehensive breast cancer care program in India by Priyansh Nathani, Priyansh Nathani, Parth Tailor, Prashant Bhandarkar, Priti Patil, Pratima Pimpalkar, Niranjna Swaminathan, Riya Sawhney, Riya Sawhney, Nobhojit Roy, Nobhojit Roy, Anita Gadgil, Anita Gadgil

“…We implemented a comprehensive breast care program based on these recommendations. This study explores the long-term survival outcomes of patients diagnosed with early-stage breast cancer (EBC) in an early detection program within a universal health coverage (UHC) scheme.MethodsThis is a cohort study of women diagnosed with early-stage breast cancer under the UHC scheme between 2008 and 2018. …”
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An Inductive Logical Model with Exceptional Information for Error Detection and Correction in Large Knowledge Bases by Yan Wu, Xiao Lin, Haojie Lian, Zili Zhang

“…In this paper, an inductive logic programming with exceptional information (EILP) is proposed to automatically detect errors in large knowledge bases (KBs). …”
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Robust Symbol Detection in Large-Scale Overloaded NOMA Systems by Hiroki Iimori, Giuseppe Thadeu Freitas De Abreu, Takanori Hara, Koji Ishibashi, Razvan-Andrei Stoica, David Gonzalez G., Osvaldo Gonsa

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Updates on lung cancer screening for early detection by Se Hyun Kwak, Chi Young Kim, Sang Hoon Lee, Eun Young Kim, Eun Hye Lee, Yoon Soo Chang

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Construction of Countably Infinite Programs That Evade Malware/Non-Malware Classification for Any Given Formal System by Vasiliki Liagkou, Panagiotis E. Nastou, Paul Spirakis, Yannis C. Stamatiou

“…Moreover, infinitely many of these programs are, indeed, malware programs which evade the detection powers of the given formal system.…”
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gfpop: An R Package for Univariate Graph-Constrained Change-Point Detection by Vincent Runge, Toby Dylan Hocking, Gaetano Romano, Fatemeh Afghah, Paul Fearnhead, Guillem Rigaill

Subjects: “…change-point detection…”
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Comparison of One versus Two Fecal Immunochemical Tests in the Detection of Colorectal Neoplasia in a Population-Based Colorectal Cancer Screening Program by Sarvenaz Moosavi, Robert Enns, Laura Gentile, Lovedeep Gondara, Colleen McGahan, Jennifer Telford

“…To determine the positive predictive value (PPV) of two versus one abnormal FIT in the detection of colorectal neoplasia in a Canadian population. …”
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Detection the Genetic Polymorphisms of the Programmed Cell Death Gene PD1.3 G/A (rs11568821) in Coronavirus Disease Patients by Dheyaa Saleh Mahdi, Refif Sabih AL-Shawk, Zainab A. Hamid

“…Both the dominant and recessive models used in the research failed to detect a connection with the risk of COVID-19 severity. …”
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Optimal Covid-19 Control on Effectiveness of Detection Campaign and Treatment by Mouhamadou A. M. T. Baldé, Sidy Ly, Léna Tendeng

“…The Pontryagin maximum principle and the dynamic programming principle are used to solve the problem. …”
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Go Source Code Vulnerability Detection Method Based on Graph Neural Network by Lisha Yuan, Yong Fang, Qiang Zhang, Zhonglin Liu, Yijia Xu

Subjects: “…static vulnerability detection…”
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The Value of Remote Vital Signs Monitoring in Detecting Clinical Deterioration in Patients in Hospital at Home Programs or Postacute Medical Patients in the Community: Systematic Review by Su-Ann Cheng, Shijie Ian Tan, Samuel Li Earn Goh, Stephanie Q Ko

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Identifying All Matches of a Rigid Object in an Input Image Using Visible Triangles by Abdullah N. Arslan

Subjects: “…rigid object detection…”
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Account hijacking threat attack detection for OAuth2.0 authorization API by Qixu LIU, Kaili QIU, Yiwen WANG, Yanhui CHEN, Langping CHEN, Chaoge LIU

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Invisible Facial Flushing in Two Cases of Dengue Infection and Influenza Detected by PC Program and Smartphone App: Decorrelation Stretching and K-Means Clustering by Manote Arpornsuwan, Matinun Arpornsuwan

“…The invisible facial flushing can be detected and visible by the Manote and Matinun (M&M) technique using PC program and smartphone app (decorrelation stretching and K-Means clustering). …”
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Multi-body sensor based drowsiness detection using convolutional programmed transfer VGG-16 neural network with automatic driving mode conversion by Meenakshi Malik, Preeti Sharma, Gurpreet Kaur Punj, Supreet Singh, Fikreselam Gared

“…This study suggests a novel method for machine learning-based automatic driving change-based drowsiness detection. In this instance, the multi-body sensor detects the driver’s EEG signal and gathers information for brain activity analysis. …”
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